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Record W4255949382 · doi:10.3886/icpsr08943

Effectiveness of Client Specific Planning as an Alternative Sentence, 1981-1982: Washington, DC, and Fairfax, Montgomery, and Prince George Counties

2014· dataset· en· W4255949382 on OpenAlexaboutno aff
William H. Clements

Bibliographic record

VenueICPSR Data Holdings · 2014
Typedataset
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)SentenceOperations researchGerontologyPsychologyHistoryMedicineComputer scienceEngineeringArt historyArtificial intelligence

Abstract

fetched live from OpenAlex

This data collection was designed to evaluate the Client Specific Planning (CSP) program of the National Center on Institutions and Alternatives (NCIA). The CSP program offers non-incarcerative sentencing options and alternatives prepared for judges and presented by an NCIA caseworker. The study measures the impact of the program on sentence length, sentence severity, the effectiveness of the program at diverting serious felony offenders from incarceration, and the rate, type, seriousness, and timing of recidivism in a 24-month post-sentence risk period. Variables are provided for each defendant on demographic characteristics, criminal history, prior counseling experiences, prior incarceration, charges and dispositions of the recidivist arrests, and types of sentencing alternatives recommended in CSP.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.305
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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